Why an AI Crash Could Spark Bitcoin's Next Big Rally: Arthur Hayes
A reckoning in AI could spark new government intervention, says Arthur Hayes
By Zack Guzman
October 19, 2026
The biggest threat to the artificial intelligence boom could turn out to be one of the biggest catalysts for Bitcoin's next rally. At least, that's the unconventional thesis being advanced by Arthur Hayes, the outspoken crypto investor who believes a reckoning in the AI industry could force governments to unleash another wave of money printing.
Rather than viewing an AI crash as a reason to abandon risk assets, Hayes sees the potential collapse of the industry's massive infrastructure spending boom as the trigger for a financial rescue that could ultimately send capital flowing into Bitcoin and other cryptocurrencies.
"The money printing is continuing. It will accelerate," Hayes told Coinage in an interview at Token2049 in Singapore. "I think that AI is a bigger bubble than subprime in 2008 [and] will elicit a massive bailout. And that's what we are trading off of right now in crypto."
It's a provocative prediction from the Maelstrom chief investment officer and Flop Labs CEO, who has built a reputation for connecting global monetary policy to crypto market cycles. This time, Hayes is pointing to the hundreds of billions of dollars being committed to AI infrastructure, and questioning whether the companies promising to buy all that computing power will ever generate enough revenue to pay for it.
Read More from Coinage:
The concern centers on the enormous capital expenditures being directed toward data centers, advanced semiconductors and the energy infrastructure required to power increasingly sophisticated AI models. Companies across the technology sector are racing to build capacity in anticipation of demand that Hayes believes may never fully materialize at today's economics.
He argues that the industry's spending commitments are overwhelmingly dependent on a handful of AI developers, including OpenAI and Anthropic, whose financial models have yet to demonstrate that the revenue generated by AI services can justify the cost of building and operating the infrastructure behind them.
"They are the demand behind all the build out," Hayes said, describing the massive commitments to purchase computing capacity. "Are they going to have the money to do it when the data centers get built?"
In Hayes' telling, the problem is that the AI industry has effectively committed to an enormous construction project before proving that customers are willing to pay enough for the finished product.
Hayes argues that the underlying economics of leading AI companies remain deeply unattractive, with the cost of developing and delivering AI services potentially exceeding the revenue those services generate. That imbalance, he believes, becomes especially dangerous when combined with the debt and capital commitments supporting the industry's expansion.
Anthropic's latest financial update revealed the company notched $16.8 billion in third-quarter revenue, up from $11.6 billion in the second quarter. According to the Financial Times, the company also noted that it was cash-flow positive, with $1.70 in revenue for every dollar spent on computing power during the quarter. But Hayes took issue with some of the circular economics between other AI players, chipmakers, and data center builders.
"These three companies are supposed to buy all this stuff based on an economics that don't make any sense," he said. "The customer doesn't pay the real cost of this AI thing. And if they did, they probably wouldn't use it as much."
His prediction is not that the collapse is imminent. Hayes believes the AI infrastructure boom may still have substantial room to run before the market is forced to confront its economics.
"I think we're, you know, two thirds there," Hayes said, suggesting that a major moment of reckoning could arrive in late 2027 or early 2028.
That timeline is significant because it implies the speculative boom could continue expanding even as the financial risks accumulate. And unlike the bursting of a typical technology bubble, Hayes believes an AI infrastructure collapse could have consequences extending far beyond the companies developing artificial intelligence.
The logic echoes the dynamics that preceded the 2008 financial crisis, when increasingly aggressive financing helped fuel a boom in housing construction and mortgage lending before deteriorating economics exposed vulnerabilities across the financial system. Hayes isn't suggesting the underlying assets or lending structures are identical. Instead, he sees a familiar pattern: enormous amounts of capital being deployed against expectations of future demand that may prove unrealistic.
For Bitcoin investors, however, the most important part of Hayes' forecast isn't necessarily the crash itself. It's what policymakers might do afterward.
Hayes believes governments and central banks are already moving toward a future of greater monetary expansion, regardless of whether the next crisis originates in artificial intelligence, sovereign debt markets or somewhere else entirely.
He singled out France as another potential source of instability, warning that turmoil in the country's debt market could force policymakers into extraordinary intervention.
"I think France, the debt market there is going to implode. That could elicit a bailout," Hayes said.
The United States, he argues, faces an even more fundamental challenge as its growing debt burden makes maintaining financial stability increasingly difficult without some form of monetary accommodation.
"I think that the U.S. debt situation is unsustainable, and they will sacrifice the currency to fix the price at some point," Hayes said. Last week, the U.S. officially marked 25 consecutive years of annual deficits, with the tally for fiscal 2026 reaching $2 trillion, up 12% versus last year.
That view is central to understanding why Hayes remains bullish on crypto even while warning that one of the world's most important investment themes could be approaching a breaking point.
If governments respond to financial instability by injecting liquidity into the financial system, Hayes expects some of that money to find its way into financial assets, including Bitcoin. In that scenario, the initial damage caused by an AI collapse could eventually give way to another speculative rally supported by easier monetary conditions.
It is a thesis that depends on the policy response rather than the crash itself. A severe AI downturn could initially hurt Bitcoin alongside stocks and other risk assets, particularly if investors are forced to sell holdings to raise cash. The bullish outcome Hayes envisions would depend on policymakers responding with monetary stimulus substantial enough to reverse that pressure.
While higher rates are typically viewed as a headwind for speculative assets, Hayes argues that the relationship changes in economies carrying enormous amounts of government debt, especially when that debt is concentrated in short-term instruments.
When interest rates rise, the government pays more interest to holders of its debt. Rather than restraining inflation, Hayes believes those payments can increase the purchasing power of already wealthy investors, who may direct the additional income into financial markets.
Subscribe to the free Coinage newsletter to stay up-to-date on all things crypto and finance.
